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license: apache-2.0 |
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Real vs AI-Generated Image Classification |
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This project provides a Convolutional Neural Network (CNN) model for classifying images as either 'real' or 'fake'. |
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CNN is a type of deep learning model specifically designed to process and analyze visual data by applying convolutional layers that automatically detect patterns and features in images. |
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Our CNN model is based on 2,800 real images and AI-generated images, which are divided equally. |
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Our goal is to accurately classify the source of the image with at least 85% accuracy and achieve at least 80% in the Recall test. |
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5. Installation Instructions |
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6. Usage Instructions |
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7. Model Architecture |
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8. Training Details |
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9. Evaluation |
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10. Examples |
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11. Contributing |
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12. License |
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